I'm Abhijit Annaldas. I've been working as Software Engineer for over 5 years. Have extensive experience of building enterprise scale applications across different complexity levels, domain and tech stack. I started getting familiar with Machine Learning in early 2016 which soon turned into a my full time labor of love. I'm living, breathing and doing Machine Learning almost every moment when am not busy with my day job (well, not literally, but I guess you get the point :)). Since the academics/subjects I have been through didn't give me enough exposure to mathematics, grasping machine learning was initially tough for me. Believe me, getting started wasn't easy. I had a zillion questions as to where to begin, what all the basics are required. The depth and vastness of the subject is mind-boggling. And for one like me without enough mathematics exposure initially, it was difficult to find the starting point. In this blog, I intend to share my learnings and experiences.
|Applied vs Theoretical Machine Learning||21-Jun-2017|
|Introduction to Ensemble Learning Methods in ML||03-Jun-2017|
|Building a Data Science Portfolio||26-May-2017|
|My first Machine Learning Hackathon||28-Mar-2017|
|My Data Science Journey||20-Dec-2016|
|Mathematics for Machine Learning||08-Aug-2016|
If you have been solving ML problems (even if just getting started), you can help the community in just 5-10 minutes by contributing to this GitHub repo. The repo is all about helping a budding Data Scientist understand the training phase of solving a ML problem. Hoping to answer questions like - How long will it train? How to speed up training?
My domain abhijitannaldas.com is now pointing to my data science blog (this one). If you are looking for my old wordpress blog you can find it at here.